社區(qū)和家庭能源中心運行優(yōu)化策略
發(fā)布時間：2018-10-09 08:57
【摘要】：新能源技術和信息技術的進步可以改變能源利用方式,促進多種一次能源與電能及各類終端能源在由多個能源網絡組成的復雜系統(tǒng)中深度融合,推動社會與環(huán)境可持續(xù)發(fā)展。能源中心是多能源系統(tǒng)建模和分析的重要概念,并且隨著能源利用技術的進步,能源中心的能量管理受到了廣泛關注。家庭耗能在能源需求側占有相當大的比重。在此背景下,首先建立了以微型冷熱電聯(lián)產(micro Combined Cooling,Heating and Power,mCCHP)作為能源轉化裝置的家庭能源中心(Home Energy Hub,HEH)的數學模型。其次,針對不同類型家庭電負荷的特性,將其細分為溫度控制型電負荷、剛性電負荷、柔性電負荷,并發(fā)展了多類型電負荷的數學模型。接著,進一步將能源中心熱負荷細分為熱水負荷、空氣制熱/制冷負荷和電氣可轉換負荷,并建立了多類型熱負荷模型。之后,引入溫度舒適度和用電舒適度概念并用于指導HEH的溫度控制和柔性電負荷控制。在此基礎上,建立了以能源購買費用最小為目標,計及溫度舒適度和用電舒適度的HEH混合整數線性規(guī)劃模型。最后,以某家庭用戶在冬季和夏季的典型日為例說明了所提方法的基本特征。近年來,在居民側實施熱電聯(lián)產和供熱電氣化受到了廣泛關注。居民小區(qū)主要能源需求為電能和熱能,主要能源輸入為電能和天然氣,可以采用能源中心概念來描述居民小區(qū)能源需求與能源輸入間的耦合關系。在此背景下,首先構建了以熱電聯(lián)產和熱泵作為能源轉化裝置的居民小區(qū)能源中心架構。然后,發(fā)展了居民小區(qū)能源中心內部優(yōu)化運行的確定性模型,并將電動汽車集群負荷作為可控電負荷參與優(yōu)化運行�？紤]到居民小區(qū)的能源需求具有不確定性,且能源中心決策者制定調度策略時對風險的偏好也未必相同,為獲得風險厭惡型決策者和風險偏好型決策者的調度策略,引入了信息間隙決策理論建立魯棒優(yōu)化模型和機會獲利模型,進而建立了居民小區(qū)能源中心混合整數線性規(guī)劃模型,并采用CPLEX求解。最后,以某居民小區(qū)為例來說明所發(fā)展的模型與方法的基本特征。在電力市場環(huán)境下,需適當考慮市場電價不確定性對能源中心調度策略的影響。為此,構建了考慮電價不確定性的能源中心魯棒優(yōu)化模型,并采用高效商業(yè)求解器AMPL/CPLEX求解。采用所發(fā)展的優(yōu)化模型,可以在給定的經濟風險水平下合理制定能源中心在次日各交易時段的交易計劃。最后對本論文中所作的初步研究進行了總結,并指出了該領域有待進一步深入研究的方向。
[Abstract]:The progress of new energy technology and information technology can change the way of energy utilization, promote the deep integration of multiple primary energy, electric energy and all kinds of terminal energy in the complex system composed of multiple energy networks, and promote the sustainable development of society and environment. Energy center is an important concept of multi-energy system modeling and analysis, and with the development of energy utilization technology, energy management of energy center has been paid more and more attention. Household energy consumption accounts for a large proportion on the energy demand side. Under this background, the mathematical model of the household energy center (Home Energy Hub,HEH), which uses (micro Combined Cooling,Heating and Power,mCCHP as the energy conversion device, is first established. Secondly, according to the characteristics of different types of household electric load, it is subdivided into temperature controlled electric load, rigid electric load and flexible electric load, and the mathematical model of multi-type electric load is developed. Then, the heat load of energy center is further divided into hot water load, air heating / refrigeration load and electric transferable load, and a multi-type heat load model is established. Then, the concepts of temperature comfort and electric comfort are introduced and used to guide HEH temperature control and flexible electric load control. On this basis, a HEH mixed integer linear programming model is established, which takes the minimum energy purchase cost as the goal and takes temperature comfort and electrical comfort into account. Finally, a typical day of a household user in winter and summer is taken as an example to illustrate the basic characteristics of the proposed method. In recent years, the implementation of cogeneration and heating electrification on the residential side has received extensive attention. The main energy demand of residential area is electric energy and heat energy, and the main energy input is electric energy and natural gas. The concept of energy center can be used to describe the coupling relationship between energy demand and energy input. Under this background, firstly, the energy center architecture of residential district with heat and power cogeneration and heat pump as energy conversion device is constructed. Then, the deterministic model of optimal operation in the energy center of residential district is developed, and the electric vehicle cluster load is taken as the controllable electric load to participate in the optimal operation. Considering that the energy demand of residential area is uncertain and the risk preference of energy center decision-makers is not necessarily the same when making scheduling policy, the scheduling strategy of risk-averse decision makers and risk preference decision makers is obtained. The information gap decision theory is introduced to establish the robust optimization model and the opportunity profit model, and then the mixed integer linear programming model of energy center in residential area is established and solved by CPLEX. Finally, take a residential area as an example to illustrate the basic characteristics of the developed models and methods. In the electricity market environment, the influence of the market price uncertainty on the energy center dispatching strategy should be considered. For this reason, a robust optimization model of energy center considering the uncertainty of electricity price is constructed, and the efficient commercial solver AMPL/CPLEX is used to solve the model. By using the developed optimization model, the trading plan of the energy center in each trading period of the next day can be reasonably formulated under the given economic risk level. Finally, the preliminary research in this paper is summarized, and the direction of further research in this field is pointed out.
【學位授予單位】：浙江大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TK01;TM73
本文編號：2258752
[Abstract]:The progress of new energy technology and information technology can change the way of energy utilization, promote the deep integration of multiple primary energy, electric energy and all kinds of terminal energy in the complex system composed of multiple energy networks, and promote the sustainable development of society and environment. Energy center is an important concept of multi-energy system modeling and analysis, and with the development of energy utilization technology, energy management of energy center has been paid more and more attention. Household energy consumption accounts for a large proportion on the energy demand side. Under this background, the mathematical model of the household energy center (Home Energy Hub,HEH), which uses (micro Combined Cooling,Heating and Power,mCCHP as the energy conversion device, is first established. Secondly, according to the characteristics of different types of household electric load, it is subdivided into temperature controlled electric load, rigid electric load and flexible electric load, and the mathematical model of multi-type electric load is developed. Then, the heat load of energy center is further divided into hot water load, air heating / refrigeration load and electric transferable load, and a multi-type heat load model is established. Then, the concepts of temperature comfort and electric comfort are introduced and used to guide HEH temperature control and flexible electric load control. On this basis, a HEH mixed integer linear programming model is established, which takes the minimum energy purchase cost as the goal and takes temperature comfort and electrical comfort into account. Finally, a typical day of a household user in winter and summer is taken as an example to illustrate the basic characteristics of the proposed method. In recent years, the implementation of cogeneration and heating electrification on the residential side has received extensive attention. The main energy demand of residential area is electric energy and heat energy, and the main energy input is electric energy and natural gas. The concept of energy center can be used to describe the coupling relationship between energy demand and energy input. Under this background, firstly, the energy center architecture of residential district with heat and power cogeneration and heat pump as energy conversion device is constructed. Then, the deterministic model of optimal operation in the energy center of residential district is developed, and the electric vehicle cluster load is taken as the controllable electric load to participate in the optimal operation. Considering that the energy demand of residential area is uncertain and the risk preference of energy center decision-makers is not necessarily the same when making scheduling policy, the scheduling strategy of risk-averse decision makers and risk preference decision makers is obtained. The information gap decision theory is introduced to establish the robust optimization model and the opportunity profit model, and then the mixed integer linear programming model of energy center in residential area is established and solved by CPLEX. Finally, take a residential area as an example to illustrate the basic characteristics of the developed models and methods. In the electricity market environment, the influence of the market price uncertainty on the energy center dispatching strategy should be considered. For this reason, a robust optimization model of energy center considering the uncertainty of electricity price is constructed, and the efficient commercial solver AMPL/CPLEX is used to solve the model. By using the developed optimization model, the trading plan of the energy center in each trading period of the next day can be reasonably formulated under the given economic risk level. Finally, the preliminary research in this paper is summarized, and the direction of further research in this field is pointed out.
【學位授予單位】：浙江大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TK01;TM73
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